pegasus-newsroom-summarizer_02

This model is a fine-tuned version of google/pegasus-newsroom on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2204
• Rouge1: 52.4459
• Rouge2: 35.2568
• Rougel: 41.6213
• Rougelsum: 48.7859
• Gen Len: 98.0627

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.3231	1.0	16113	1.2305	52.1565	34.8681	41.3189	48.4258	95.9049
1.3001	2.0	32226	1.2186	52.4921	35.2661	41.6264	48.8168	98.9241
1.2372	3.0	48339	1.2204	52.4459	35.2568	41.6213	48.7859	98.0627

Framework versions

• Transformers 4.12.3
• Pytorch 1.9.0+cu111
• Datasets 1.15.1
• Tokenizers 0.10.3